Healthcare AI Infrastructure - To be deprecated
Infrastructure is king.
My name is Erkin Ötleş & I’m a physician-engineer. This unique combination of roles allows me to bridge the gap between medicine and engineering, a perspective I bring to my work in AI for medicine.
I am currently an emergency medicine resident physician at the University of Wisconsin. I previously was a Medical Scientist Training Program Fellow at the University of Michigan; I got a combined MD-PhD (doctorates in medicine & engineering). Before that, I worked as an engineer focused on solving healthcare data problems; I spent some time at Epic and also led a healthcare data science team. I am an expert in developing & implementing artificial intelligence tools in healthcare, such as predictive analytics for patient outcomes and machine learning algorithms for disease recognition.
All models are wrong, but some are useful.
- George Box -
Infrastructure is king.
A detailed exploration of the development and implementation of M-CURES, a COVID-19 in-hospital deterioration model, highlighting the integration of AI model...
A guide to the technical infrastructure needed to integrate AI models into clinical workflows, covering both internal and external integration approaches and...
An in-depth look at the tools and environments needed to develop AI models for healthcare, emphasizing the importance of integrating implementation considera...
Infrastructure is king. An intro to the foundational healthcare IT systems that power AI, focusing on how electronic medical records & technical integrat...
Medicine is a science of uncertainty and an art of probability.
- William Osler -